caa a22 4500 469076844 CHVBK 20180323132937.0 cr unu---uuuuu 170328e19920701xx s 000 0 eng 10.1007/BF02511737 doi (NATIONALLICENCE)springer-10.1007/BF02511737 An algorithm for the automatic detection of anomalous temperature variations at ground level: its application to the METEOSAT-2 satellite [Elektronische Daten] [S. Corda, E. Proverbio] Summary: The algorithm, starting from techniques typical of image processing and information theory, is an instrument for the detection of anomalous variations in any physical parameter measured by remote sensing. Within a software system capable of checking the validity of such a measurement, comparing it with extant historical data and reporting it, the algorithm acts as a filter able to amplify the anomaly. The aim of this work is to see if it possible to detect anomalous temperature variations in some way connected with fire at ground level by means of the sensors in the infrared heat band of the METEOSAT-2 satellite. The choice of this geostationary satellite was made because, despite low spatial resolution (at the latitude of Sardinia pixels are about 7 km square), it has good time resolution (one slot every 30 minutes). Società Italiana di Fisica, 1992 Climatology nationallicence Observation and reduction techniques nationallicence Corda S. Astronomical Observatory of Cagliari, Cagliari, Italy aut Proverbio E. Astronomical Observatory of Cagliari, Cagliari, Italy aut Il Nuovo Cimento C Kluwer Academic Publishers 15/4(1992-07-01), 367-379 0390-5551 15:4<367 1992 15 11543 https://doi.org/10.1007/BF02511737 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF02511737 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Corda S. Astronomical Observatory of Cagliari, Cagliari, Italy aut NATIONALLICENCE 700 1- Proverbio E. Astronomical Observatory of Cagliari, Cagliari, Italy aut NATIONALLICENCE 773 0- Il Nuovo Cimento C Kluwer Academic Publishers 15/4(1992-07-01), 367-379 0390-5551 15:4<367 1992 15 11543 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer